Fuzzy C-Means Clustering Models For Multivariate Time-Varying Data: Different Approaches

The classification of multivariate time-varying data finds application in several fields, such as economics, finance, marketing research, psychometrics, bioinformatics, medicine, signal processing,...

[1]  E. E. Zhuk Cluster Analysis of the Realizations of Autoregression Time Series , 2003 .

[2]  Enrique H. Ruspini,et al.  A New Approach to Clustering , 1969, Inf. Control..

[3]  Peter J. W. Rayner,et al.  Unsupervised time series classification , 1995, Signal Process..

[4]  Paul R. Cohen,et al.  Bayesian Clustering by Dynamics Contents 1 Introduction 1 2 Clustering Markov Chains 2 , 2022 .

[5]  Konstantinos N. Plataniotis,et al.  A new time series classification approach , 1996, Signal Process..

[6]  Yoshiharu Sato,et al.  On a multicriteria fuzzy Clustering Method for 3-Way Data , 1994, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[7]  Lalit Gupta,et al.  Classification of temporal sequences via prediction using the simple recurrent neural network , 2000, Pattern Recognit..

[8]  Fu Guoyao,et al.  Optimization methods for fuzzy clustering , 1998 .

[9]  John F. Kolen,et al.  Reducing the time complexity of the fuzzy c-means algorithm , 2002, IEEE Trans. Fuzzy Syst..

[10]  James M. Landwehr,et al.  Analyzing Clustering Effects across Time , 1980 .

[11]  Peter J. Rousseeuw,et al.  Fuzzy clustering using scatter matrices , 1996 .

[12]  Amir B. Geva Hierarchical-fuzzy clustering of temporal-patterns and its application for time-series prediction , 1999, Pattern Recognit. Lett..

[13]  Athanasios Kehagias,et al.  Predictive Modular Neural Networks for Time Series Classification , 1997, Neural Networks.

[14]  J. Bezdek,et al.  c-means clustering with the l/sub l/ and l/sub infinity / norms , 1991 .

[15]  H. Tong,et al.  Cluster of time series models: an example , 1990 .

[16]  Boudewijn P. F. Lelieveldt,et al.  A new cluster validity index for the fuzzy c-mean , 1998, Pattern Recognit. Lett..

[17]  J. Bezdek Numerical taxonomy with fuzzy sets , 1974 .

[18]  J. C. Dunn,et al.  A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters , 1973 .

[19]  H. Law Research methods for multimode data analysis , 1984 .

[20]  Pierpaolo D'Urso,et al.  Fuzzy K-means clustering models for triangular fuzzy time trajectories , 2002 .

[21]  M. Roubens Pattern classification problems and fuzzy sets , 1978 .

[22]  James C. Bezdek,et al.  Clustering with a genetically optimized approach , 1999, IEEE Trans. Evol. Comput..

[23]  James C. Bezdek,et al.  Generalized fuzzy c-means clustering strategies using Lp norm distances , 2000, IEEE Trans. Fuzzy Syst..

[24]  Noureddine Zahid,et al.  A new cluster-validity for fuzzy clustering , 1999, Pattern Recognit..

[25]  Witold Pedrycz,et al.  Collaborative fuzzy clustering , 2002, Pattern Recognit. Lett..

[26]  James C. Bezdek,et al.  On cluster validity for the fuzzy c-means model , 1995, IEEE Trans. Fuzzy Syst..

[27]  Richard J. Martin A metric for ARMA processes , 2000, IEEE Trans. Signal Process..

[28]  Anupam Joshi,et al.  Low-complexity fuzzy relational clustering algorithms for Web mining , 2001, IEEE Trans. Fuzzy Syst..

[29]  H. Kiers Towards a standardized notation and terminology in multiway analysis , 2000 .

[30]  D. Piccolo A DISTANCE MEASURE FOR CLASSIFYING ARIMA MODELS , 1990 .

[31]  Katarina Košmelj A two‐step procedure for clustering time varying data , 1986 .

[32]  Chin-Shyurng Fahn,et al.  The multisynapse neural network and its application to fuzzy clustering , 2002, IEEE Trans. Neural Networks.

[33]  Hans-Jürgen Zimmermann,et al.  Fuzzy rule based classification with FeatureSelector and modified threshold accepting , 2000, Eur. J. Oper. Res..

[34]  James M. Keller,et al.  Analysis and efficient implementation of a linguistic fuzzy c-means , 2002, IEEE Trans. Fuzzy Syst..

[35]  Elizabeth Ann Maharaj,et al.  A SIGNIFICANCE TEST FOR CLASSIFYING ARMA MODELS , 1996 .

[36]  J. Bezdek,et al.  Recent convergence results for the fuzzy c-means clustering algorithms , 1988 .

[37]  Pierpaolo D'Urso,et al.  Three-way fuzzy clustering models for LR fuzzy time trajectories , 2003, Comput. Stat. Data Anal..

[38]  Klaus Danzer,et al.  Fuzzy cluster analysis by simulated annealing , 1996 .

[39]  Pierre Hansen,et al.  Fuzzy J-Means: a new heuristic for fuzzy clustering , 2001, Pattern Recognit..

[40]  P. Arabie,et al.  Indclus: An individual differences generalization of the adclus model and the mapclus algorithm , 1983 .

[41]  Sadaaki Miyamoto,et al.  Two Methods of Fuzzy c-Means and Classification Functions , 1998 .

[42]  R. Bellman,et al.  Abstraction and pattern classification , 1996 .

[43]  G. P. King,et al.  Using cluster analysis to classify time series , 1992 .

[44]  Pierpaolo D'Urso,et al.  The Geometric Approach to the Comparison of Multivariate Time Trajectories , 2001 .

[45]  Elizabeth Ann Maharaj,et al.  Cluster of Time Series , 2000, J. Classif..

[46]  Robert H. Shumway,et al.  Discrimination and Clustering for Multivariate Time Series , 1998 .

[47]  Christoph Heitz Classification of Time Series with Optimized Time-Frequency Representations , 1996 .

[48]  Hans-Hermann Bock,et al.  Data Analysis and Information Systems , 1996 .

[49]  K. Kosmelj,et al.  Cross-sectional approach for clustering time varying data , 1990 .

[50]  W. DeSarbo Gennclus: New models for general nonhierarchical clustering analysis , 1982 .

[51]  Pierpaolo D'Urso,et al.  Fuzzy Time Arrays and Dissimilarity Measures For Fuzzy Time Trajectories , 2000 .

[52]  Elizabeth Ann Maharaj,et al.  Comparison and classification of stationary multivariate time series , 1999, Pattern Recognit..